- New synergies between the distant communities of environmental modelling, advanced sensor research, social sciences, and artificial intelligence can lead to radically new approaches to creating and using dynamic models of the environment, including predictive modelling and scenario testing and tracking. The ultimate vision is to use the fusion and analysis of this rich, dynamic data coming from a variety of sensing modalities and their characteristic locations to build a deeper understanding of the socio-environmental inter-relationships, for example, by testing and validating complex theoretical models. For more information click  https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/fetproact-eic-08-2020;freeTextSearchKeyword=;typeCodes=1,0;statusCodes=31094501;programCode=null;programDivisionCode=null;focusAreaCode=null;crossCuttingPriorityCode=null;callCode=Default;sortQuery=deadline;orderBy=asc;onlyTenders=false;topicListKey=topicSearchTablePageState .

- Underwater noise from shipping and boats impacts upon the behaviour and health of water organisms in rivers and at sea, including marine mammals. However, despite previous research, the environmental impacts from effects and the propagation of underwater noise at different amplitudes and frequencies remain poorly understood and largely unquantified. Furthermore, there has been comparatively few studies to better understand the potential noise reduction measures that could be applied to both existing and future vessels. For more information click  https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/mg-bg-03-2020;freeTextSearchKeyword=;typeCodes=1,0;statusCodes=31094501;programCode=null;programDivisionCode=null;focusAreaCode=null;crossCuttingPriorityCode=null;callCode=Default;sortQuery=deadline;orderBy=asc;onlyTenders=false;topicListKey=topicSearchTablePageState